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Physically Consistent Modeling and Achievable Rate Optimization of Wireless Systems Using Dynamic Scattering Array
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DOI：10.1109/LWC.2025.3645940.png)
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Abstract
En 中文
Driven by the low-power and low-cost requirements of 6G communications, dynamic scattering array (DSA), which leverages the strong near-field mutual coupling effects between the active antenna and passive scatterers, offers a novel approach for flexible beam control. Existing studies have not yet established a complete physically consistent model that incorporates the circuit parameters of both the DSA and the receiving antenna, along with the wireless channel. Furthermore, corresponding optimization algorithms are also lacking. To address these issues, this letter proposes an end-to-end physically consistent model and an optimization method for DSA-based systems. Specifically, a more comprehensive end-to-end channel model is constructed by jointly considering the mutual coupling among the active antenna, passive scatterers, and the receiving antenna. Based on this model, the performance of the DSA-based system is formulated as an achievable rate maximization problem, which is solved using a tailored gradient ascent (GA) algorithm. Numerical results demonstrate that the achievable rate of the system is significantly improved by effectively leveraging the mutual coupling effect.
Keywords:
Dynamic scattering array
physically consistent models
mutual coupling
optimization
Journal
I
IF:
5.5
Papers:
665
Citations:
0